Natural language processor

Abstract

Disclosed is a method for converting a plurality of words or sign language gestures into one or more sentences. The method involves the steps of: obtaining a plurality of words; assigning a part of speech tag to each of said words; assigning a sentence structure tag to said plurality of words; and parsing said words into one or more sentences based on a predefined sentence structure. The method can be implemented by a computer to provide a translator that more accurately reflects the natural language of the original text.

1 . A method for converting a plurality of words into one or more sentences, comprising the steps of:
 obtaining a plurality of words;   assigning a part of speech tag to each of said words;   assigning a sentence structure tag to said plurality of words; and   parsing said words into one or more sentences based on a predefined sentence structure.   
     
     
         2 . The method of  claim 1 , wherein said part of speech tag is selected from noun, verb, adverb, adjective, conjunction and preposition. 
     
     
         3 . The method of  claim 1 , wherein said sentence structure tag is selected from noun verb, subject verb object, subject verb object, subject verb object object, subject object verb, verb subject object, object subject verb, verb subject object and object verb subject. 
     
     
         4 . The method of  claim 1 , further comprising applying a set of rules to boundary absent word strings prior to parsing said words into one or more sentences. 
     
     
         5 . The method of  claim 1 , further comprising applying a set of rules to said one or more sentences to confirm conformity with syntactic and semantic parameters. 
     
     
         6 . The method of  claim 1 , further comprising identifying relevant argument configurations based on the part of speech tagged words prior to assigning sentence structure tags to the plurality of words. 
     
     
         7 . The method of  claim 6 , wherein the argument configurations are entity relation, entity relation entity and entity relation entity (relation) entity. 
     
     
         8 . The method of  claim 6 , wherein the argument configurations generate strings of words that are compared against the sentence structure tags to identify legitimate and illegitimate strings of words. 
     
     
         9 . The method of  claim 1 , wherein the predefined sentence structure is selected from any one of Tables 1 to 4. 
     
     
         10 . The method of  claim 1 , wherein the predefined sentence structure is selected from Table 5 or 6. 
     
     
         11 . The method of  claim 6 , wherein the step of identifying relevant argument configurations comprises assigning an embedded clause tag to the words. 
     
     
         12 . The method of  claim 1 , wherein the plurality of words are from the English language. 
     
     
         13 . The method of  claim 1 , wherein the plurality of words are from the Chinese language. 
     
     
         14 . The method of  claim 1 , wherein the plurality of words are from the Arabic language. 
     
     
         15 . The method of  claim 13 , further comprising converting the plurality of words into PinYin words prior to assigning the part of speech tag to each of said words. 
     
     
         16 . The method of  claim 1 , wherein the plurality of words are gestures from American Sign Language. 
     
     
         17 . A computer implemented method for converting a plurality of words into one or more sentences, comprising the steps of:
 obtaining a plurality of words;   assigning a part of speech tag to each of said words;   assigning a sentence structure tag to said plurality of words; and   parsing said words into one or more sentences based on a predefined sentence structure.   
     
     
         18 . A computer program product comprising a computer readable memory storing computer executable instructions thereon that when executed by a computer perform the method steps of  claim 1 .